This Startup Raised $25 Million To Keep Data Safe While Training AI

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This Startup Raised $25 Million To Keep Data Safe While Training AI
Confidential Computing
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Kirk Ogunrinde is an editiorial intern covering emerging tech and innovation at Forbes. Previously, he worked at The Dallas Morning News as a data journalist and was the Sports Editor of Southern Methodist University’s newspaper, The Daily Campus. Send him tips at [email protected] and give him Twitter follow @ogunrindekirk.

“Confidential computing” startup Anjuna aims to make it possible for its customers to use sensitive data for a variety of tasks without compromising privacy.he rise of generative AI models has attracted interest for a number of different applications, but both businesses and individuals increasingly rely on cloud-based services while training and deploying AI, which increases the risk of security breaches and data leaks.

Today, Anjuna announced it has raised $25 million in a series B2 funding led by M Ventures, SineWave Ventures and AI Capital Partners. The round brings the company's investment to date to $67 million. One major purpose for the influx of capital is for the company to further develop its new AI Clean Rooms feature, which is only available in an early version to select clients.

Securing the data sounds simple but it’s easier said than done: because confidential computing has conventionally been hardware-focused, building the software with the necessary encryption requires working at a deep level in the system stack. That means that Anjuna’s developers need to have more knowledge of underlying computer system infrastructure, rather than just application level programming. This adds layers of complexity to developing their platform.

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